Semantic enrichment of spatio-temporal trajectories for worker safety on construction sites
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,Computer Science Applications,Hardware and Architecture
Link
http://link.springer.com/article/10.1007/s00779-018-01199-5/fulltext.html
Reference55 articles.
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2. Poh CQ, Ubeynarayana CU, Goh YM (2018) Safety leading indicators for construction sites: a machine learning approach. Autom Constr 93:375–386. https://doi.org/10.1016/j.autcon.2018.03.022
3. Stats.bls.gov . (2017) Census of fatal occupational injuries (CFOI) - current and revised data. http://stats.bls.gov/iif/oshcfoi1.htm . Accessed 28 September 2017
4. Fang W, Ding L, Luo H, Love PE (2018) Falls from heights: a computer vision-based approach for safety harness detection. Autom Constr 91:53–61. https://doi.org/10.1016/j.autcon.2018.02.018
5. Zhou C, Ding LY (2017) Safety barrier warning system for underground construction sites using internet-of-things technologies. Autom Constr 83:372–389. https://doi.org/10.1016/j.autcon.2017.07.005
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